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What is Discretization in Machine Learning?

Analytics Vidhya

Discretization is a fundamental preprocessing technique in data analysis and machine learning, bridging the gap between continuous data and methods designed for discrete inputs. appeared first on Analytics Vidhya.

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Optimization Essentials for Machine Learning

Analytics Vidhya

Where is Optimization used in DS/ML/DL? The post Optimization Essentials for Machine Learning appeared first on Analytics Vidhya. The post Optimization Essentials for Machine Learning appeared first on Analytics Vidhya. What are Convex […].

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Hyperparameter Optimization in Machine Learning Models

Analytics Vidhya

Introduction One of the toughest things about making powerful models in machine learning is fiddling with many levels. Hyperparameter optimization—adjusting those settings to end up with something that’s not horrible—might be the most important part of it all.

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Gradient Descent: Design Your First Machine Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Building a simple Machine Learning model using Pytorch from scratch. Image by my great learning Introduction Gradient descent is an optimization algorithm that is used to train machine learning models and is now used in a neural network.

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Common Use Cases for Mathematical Optimization

Mathematical optimization is a subset of artificial intelligence and a type of prescriptive analytics. What are some of the most common use cases for mathematical optimization across industries? This guide is ideal if you: Are curious about the different application areas for mathematical optimization.

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ML Hyperparameter Optimization App using Streamlit

Analytics Vidhya

It was designed especially for Machine Learning and Data Scientist team. The post ML Hyperparameter Optimization App using Streamlit appeared first on Analytics Vidhya. Using Streamlit, we can quickly create interactive web apps and deploy them. Frontend […].

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How to Improve Class Imbalance using Class Weights in Machine Learning

Analytics Vidhya

Overview Understand how class weight optimization works and how we can implement. The post How to Improve Class Imbalance using Class Weights in Machine Learning appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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Data Science Fails: Building AI You Can Trust

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. The optimal level of disclosure to AI stakeholders. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology. How human errors like typos can influence AI findings.